Record Display for the EPA National Library Catalog

RECORD NUMBER: 29 OF 50

OLS Field Name OLS Field Data
Main Title Measurement and Prediction of Single Droplet Trajectories in a Swirled Combustion System.
Author Mulholland, J. A. ; Srivastava, R. K. ; Ryan, J. V. ; Robinson, S. B. ; Wendt, J. O. L. ;
CORP Author Acurex Corp., Research Triangle Park, NC. ;Energy and Environmental Research Corp., Chapel Hill, NC. Eastern Operations Office. ;Arizona Univ., Tucson.;Environmental Protection Agency, Research Triangle Park, NC. Air and Energy Engineering Research Lab.
Year Published 1986
Report Number EPA-68-02-3988 ;EPA-68-02-4247; EPA/600/D-86/049;
Stock Number PB86-167731
Additional Subjects Air pollution abatement ; Combustion ; Drops(Liquids) ; Trajectories ; Measurement ; Prediction ; Swirling ; Flames ;
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB86-167731 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/21/1988
Collation 29p
Abstract
The paper gives results of an experimental determination of the penetration of individual fuel droplets injected into a swirling gas flame, as a function of the droplet injection parameters of spacing, velocity, size, and angle. It also describes additional experiments in cold flow to evaluate the effect of droplet spacing on drag coefficient. Theoretical predictions of a simplified three-dimensional droplet trajectory model compared well to the hot flow experimental observations. It was found that bypassing and penetration of large droplets, which can occur in practical situations, may lead to failures in liquid-fired hazardous waste incinerators. Cold flow studies indicated that the average drag coefficient depended strongly on droplet spacing, for a droplet spacing of less than 150 droplet diameters. Although turbulent fluctuations gave rise to distributions of droplet paths, both their average behavior and their trends with respect to injection variables compared well to trajectory predictions utilizing the experimentally determined mean velocity field.